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Apache Spark

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Claimed by Apache Software Foundation Analyzed 3 days ago

Apache Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write. To run programs faster, Spark provides primitives for in-memory cluster computing: your job can load data into memory and query it repeatedly more rapidly than with ... [More] disk-based systems like Hadoop. To make programming faster, Spark offers high-level APIs in Scala, Java and Python, letting you manipulate distributed datasets like local collections. You can also use Spark interactively to query big data from the Scala or Python shells. Spark integrates closely with Hadoop to run inside Hadoop clusters and can access any existing Hadoop data source. [Less]

1.28M lines of code

374 current contributors

3 days since last commit

56 users on Open Hub

Very High Activity
5.0
 
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Eucalyptus

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  Analyzed about 5 hours ago

EUCALYPTUS - Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems - is an open-source software infrastructure for implementing "cloud computing" on clusters. The current interface to EUCALYPTUS is compatible with Amazon's EC2 interface, but the infrastructure is ... [More] designed to support multiple client-side interfaces. EUCALYPTUS is implemented using commonly available Linux tools and basic Web-service technologies making it easy to install and maintain. [Less]

738K lines of code

2 current contributors

over 2 years since last commit

20 users on Open Hub

Inactive
4.33333
   
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OpenNebula

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  Analyzed 2 months ago

OpenNebula.org is an open-source project delivering a simple but feature-rich and flexible solution to build and manage enterprise clouds and virtualized data centers.

474K lines of code

39 current contributors

9 months since last commit

19 users on Open Hub

Activity Not Available
4.28571
   
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Apache jclouds

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Claimed by Apache Software Foundation Analyzed 3 days ago

Apache jclouds is an open-source framework that helps you get started in the cloud and reuse your Java development skills. Our API allows you to freedom to use portable abstractions or cloud-specific features. We support many clouds including Amazon, Azure, Rackspace, and VMWare.

522K lines of code

21 current contributors

16 days since last commit

18 users on Open Hub

Moderate Activity
5.0
 
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boto

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  Analyzed 2 days ago

Python interface to Amazon Web Services (S3, SQS, EC2, and Mechanical Turk)

80.4K lines of code

0 current contributors

over 5 years since last commit

18 users on Open Hub

Inactive
4.25
   
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amazon-ec2

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  Analyzed 3 days ago

An interface library that allows Ruby or Ruby on Rails applications to easily connect to the HTTP 'Query API' for the Amazon Web Services Elastic Compute Cloud (EC2) and manipulate server instances.

17.8K lines of code

0 current contributors

over 9 years since last commit

8 users on Open Hub

Inactive
4.33333
   
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Apache Libcloud

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Claimed by Apache Software Foundation Analyzed 2 days ago

Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to manage different cloud resources through a unified and easy to use API.

202K lines of code

30 current contributors

4 months since last commit

6 users on Open Hub

Moderate Activity
0.0
 
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Turnkey Linux

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  Analyzed 8 days ago

TurnKey Linux is an opensource project that aims to develop high-quality software appliances that are easy to deploy, easy to use and free. In a nutshell, we believe everything that can be easy, should be easy! http://www.turnkeylinux.org/

490K lines of code

11 current contributors

21 days since last commit

6 users on Open Hub

High Activity
5.0
 
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Apache Storm

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Claimed by Apache Software Foundation Analyzed 2 days ago

Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language. Storm is fast: a benchmark ... [More] clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Storm integrates with the queueing and database technologies you already use. A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. [Less]

353K lines of code

45 current contributors

21 days since last commit

6 users on Open Hub

Moderate Activity
5.0
 
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Elastic Grid

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  Analyzed 3 days ago

The Elastic Grid is an infrastructure for the dynamic deployment, activation, management of Java applications on virtualized hardware, initially focusing on Amazon EC2.

30.2K lines of code

0 current contributors

about 14 years since last commit

4 users on Open Hub

Inactive
4.33333
   
I Use This
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